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Real‐time estimation of solar irradiance and module temperature from maximum power point condition
Author(s) -
Moshksar Ehsan,
Ghanbari Teymoor
Publication year - 2018
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2017.0476
Subject(s) - irradiance , photovoltaic system , solar irradiance , estimator , maximum power principle , control theory (sociology) , radiation , power (physics) , voltage , mathematics , computer science , optics , physics , engineering , electrical engineering , statistics , meteorology , quantum mechanics , control (management) , artificial intelligence
Real‐time estimation techniques are presented to estimate solar irradiance and photovoltaic (PV) module temperature simultaneously from maximum power point condition. An algebraic equation which is function of PV output voltage and current measurements is utilised to estimate solar radiation. A non‐linear model‐based technique of immersion and invariance is employed to derive an update low for module temperature estimation. It is shown that the estimated temperature globally asymptotically converges, where its accuracy depends on solar radiation estimator. The proposed algorithms are accurate, fast, and easy to implement at optimal operating conditions of PV modules.

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